Apache Cassandra Certification Training

Edureka’s Apache Cassandra Certification Training is designed by professionals as per the industry requirements and demands. This Cassandra Certification Training helps you to master the concepts of Apache Cassandra including Cassandra Architecture, its features, Cassandra Data Model, and its Administration. Throughout the Cassandra course, you will learn to install, configure, and monitor Cassandra, along with its integration with other Apache frameworks like Hadoop, Spark, and Kafka.

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Cassandra is a distributed database from Apache that is highly scalable and designed to manage huge amount of unstructured data. Apache Cassandra Certification Training covers Database Operations, Table Operations, Node Operations in a Cluster, Managing & Monitoring the Cluster, Backup/Restore, Performance Tuning, and Hosting Cassandra Database on Cloud. You will also learn to integrate Cassandra with other Apache frameworks like Hadoop, Spark, and Kafka.

Apache Cassandra is one of the most widely used NoSQL database. It offers features such as Fault Tolerance, Scalability, Flexible Data Storage and it's efficient writes, which makes it the perfect database for various purposes. Apache Cassandra is the right choice of database if you are looking for scalability and high availability without compromising performance for your mission-critical applications.

To take benefits of these opportunities you need a structured training with an updated curriculum as per current industry requirements and best practices.

Besides strong theoretical understanding, you also need to work on real-life Cassandra projects as a part of solution strategy. It is open source and is used by many companies like Spotify, eBay, Comcast, Adobe, NASA, Netflix, and Twitter which led to increase in jobs in the Cassandra Domain.

Apache Cassandra Certification Training will help you to become a Cassandra expert. It will hone your skills by offering you comprehensive knowledge on Cassandra, it's internals and the required hands-on experience for solving real-time industry-based big data projects.

During the Cassandra Training, you will be guided and trained by our expert instructors to:

Master the concepts of NoSQL database & understand where Cassandra is used

The market for Big Data analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Cassandra being Highly Available and extremely fast is one of the widely used NoSQL database. Our Apache Cassandra Training helps you to grab this opportunity and accelerate your career. It is best suited for:

As such there are no prerequisites for Apache Cassandra course. Knowledge of Linux command line is preferred. Exposure to Java, Database or Data-Warehouse concepts is a plus, but certainly not a mandate.

For this Cassandra training, we will help you to setup Edureka's Virtual Machine in your System with local access. The detailed installation guides are provided in the LMS for setting up the environment. For any doubt, the 24*7 support team will promptly assist you. Edureka Virtual Machine can be installed on Mac or Windows machine.

David is CEO of www.purhaseitnow.com. Currently, he is selling 300k products per day across multiple categories. There are thousands of sellers having millions of products, registered on the portal.

Soon David realizes that his sale is decreasing monthly due to the poor quality of products sold by some of the sellers. He then decided to categorize the products so that the site can recommend good products to his customers. He asked his CTO John, to develop the same functionality.

John has suggested him that If they allow customers to give feedback about the product they purchased in the form of like & dislike, then they can recommend those products over other similar products.

John and Product Manager have gathered some requirements and decided to develop using Agile methodology.

Requirements:

1. Get User Details by User Id

2. Get Product Details by Product Id

3. Get all products liked by User

4. Get Product liked by Multiple Users

John is aware of RDBMS only and has suggested database schema as follows:

Tables

1. User

a. User Id

b. User Name

c. Address

2. Product

a. Product Id

b. Product Name

c. Product Description

3. User Product Likes

a. User Id (FK user table)

b. Product Id (FK product table)

c. Timestamp

Soon after, huge data got accumulated in the last table, resulting in system imbalance. They tried to apply all optimization techniques but failed to overcome the issue.

After some digging, they realized that last 2 queries were not performing good due to.

1. Tables will be huge due to large catalogue

2. Retrieval products/users will take more time

To solve this, they hired you because you have some experience in NoSQL databases. You must come up with proper database selection and schema design.

Once you have finalized design you have to:

1. Provide information about database type which you are opting RDBMS/NoSQL/GRAPH?

Our consulting firm has been retained by a major bank to help improve the scalability of their current infrastructure. There are lots of transaction logs generated by various systems. Current database MySQL is not able to handle all the logs. The Firm also wants to run some aggregation jobs.

Key issues:

You must revamp existing code and migration of existing data.

Tasks

You have given end points or log files path where data is being produced.

You have different pages on the website which can be search page, promotional page, deal of day page etc. You must use this log and design schema such that it can get daily request counts per day.

1. Number of clicks on deal of the day page with Android device on 11 May 2017

2. Number of clicks on deal of the page with IOS device on 11 May 2017

3. Number of clicks on home page with Chrome browser on 11 May 2017

4. Number of clicks on home page of Firefox browser on 11 May 2017

Case Study 3: Customer Help Desk Application

Problem Statement:

Model a Customer Help Desk application where customer complaints are logged and captured in a Cassandra column family. The Cassandra table HelpDesk shown in the following screenshot captures these details.

The columns CustomerId, TicketId, ActionTime constitute the Primary key. The column CustomerId becomes the Partition key. The records are stored in the descending order of TicketId, ActionTime. This is to make sure that the recent action details are accessible first.

Task:

1. Create a table HelpDesk as per the above requirement

2. Insert data into HelpDesk. For every record inserted, ActionTime should get the current timestamp.

3. Use the CQL command to display all the data in the specified format.

4. Write range query to retrieve data from to specific date and time. For example, between time-period 2017-11-12 19:14:00 and 2017-11-13 19:20:00

Case Study 4: Hotel Booking Application

Problem Statement:

Design a hotel room reservation application data model. Access available_rooms.csv file provided. The available_rooms.csv file contains a month’s worth of inventory for two small hotels with five rooms each.

Tasks:

1. Create a table available_rooms_by_hotel_date as per the requirement with hotel_id as the partition key, while date and room_number are clustering columns.

Goal: In this module you will get a brief introduction of Big Data and how it creates problems for traditional Database Management Systems like RDBMS. You will also learn how Cassandra solves these problems and understand Cassandra’s features.

Goal: In this module, you will learn about Database Model and similarities between RDBMS and Cassandra Data Model. You will also understand the key Database Elements of Cassandra and learn about the concept of Primary Key.

Goal: In this module you will learn about Keyspace and its attributes in Cassandra. You will also create Keyspace, learn how to create a Table and perform operations like Inserting, Updating and Deleting data from a table while using CQLSH.

Goal: Learn how to add nodes in Cassandra and configure Nodes using “cassandra.yaml” file. Use Nodetool to remove node and restore node back into the service. In addition, by using Nodetool repair command learn the importance of repair and how repair operation functions.

Goal: The key aspects to monitoring Cassandra are resources used by each node, response latencies to requests, requests to offline nodes, and the compaction process. Learn to use various monitoring tools in Cassandra such as Nodetool and JConsole in this module.

Goal: In this Module you will learn about the importance of Backup and Restore functions in Cassandra and Create Snapshots in Cassandra. You will learn about Hardware selection and Performance Tuning (Configuring Log Files) in Cassandra. You will also learn about Cassandra integration with various other frameworks.

Skills:

• Performance tuning

• Cassandra Design Principals

• Backup and Restoration

Objectives: At the end of this module, you’ll be able to:

• Learn backup and restore functionality and its importance

• Create a snapshot using Nodetool utility

• Restore a snapshot

• Understand how to choose the right balance of the following resources: memory, CPU, disks, number of nodes, and network.

• Understand all the logs created by Cassandra

• Explain the purpose of different log files

• Configure the log files

• Learn about Performance Tuning

• Integration with Spark and Kafka

Topics:

• Creating a Snapshot

• Restoring from a Snapshot

• RAM and CPU recommendations

• Hardware choices

• Selecting storage

• Types of Storage to Avoid

• Cluster connectivity, security and the factors that affect distributed system performance

• End-to-end performance tuning of Cassandra clusters against very large data sets

We do provide placement assistance by routing relevant job opportunities to you as and when they come up. To get notified on relevant opportunities, it is important that you fill out your profile details.

It is important to attend classes and complete assignments. Course completion is an important criterion based on which we screen profiles of learners interested in a particular job. Also, before your profile is shared with prospective employers, you will have to go through an internal assessment by edureka. So it is important to be well versed with the course concepts to become eligible for placement opportunities.

We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.

All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.

Once you are successfully through the project (Reviewed by a Edureka Expert), you will be awarded with edureka’s Cassandra Professional Certificate.

Edureka's certification has industry wide recognition and we are the preferred training partner for many MNCs including Cisco, Ford, Mphasis, Nokia, Wipro, Accenture, IBM, Philips, Citi, Mindtree, BNYMellon and many more.

Chandrasekhara Rao Chitiprolu

I have been using Edureka for learning different topics related to Big Data -Hadoop, PIG, HIVE, Cassandra. I am very happy with the training and the help they are providing and I feel better than another online training where I registered for Cassandra. One of great thing is we can download the videos and references for later use, I use these in my commute to work (usually spend 2.5 hrs in train). Thank you for being flexible and proving great opportunity to learn cutting edge technologies - CheersRead More Read Less

Manish Dunani

Big Data Enthusiast
It is a very good experience to learn from edureka!.Faculty seems excellent in sharing real world experiences.I do not feel even for single moment that i am learning from any tutor,it is like face to face gathering with an experienced person sharing it's curriculum knowledge.Read More Read Less

Alexey Starykh

R&D Engineer at IFAS of RWTH. Developer.Aachen University,Germany
Looks like they want us to think of nothing but learning. I really appreciate this approach. Thank you Edureka Team! I had a nice and fruitful time.

Puneet Jhajj

I have done Spring Framework and Hadoop framework training from Edureka. I am very happy with the training and help they are providing.The sessions were very informative. The instructors are highly knowledgeable.They provide a set of videos from a previous session, so you can watch the course before you participate. This way you can get the most out of the course.Excellent Customer Service starting with signing up of the course. I really appreciate Edureka Support team. They are really doing a fantastic job. All my queries were answered properly and promptly.You get recording of the classes, presentations and labs in LMS. And good feature is you have lifetime access to LMS of course you have taken, so you can refer, revise any topic when you want.I can safely say Edureka is one of the best training company.Read More Read Less

Anil Algole

Principle Consultant at Infosys
Experience with Edureka is world class. I took 2 courses Informatica PowerCenter 9.x and Tableau Certification Training. I feel both the courses had extremely knowledgeable instructors, professional course delivery, recorded classes, great customer support and the access to needed tools at the comfort of your time and place (home). I have not seen such a value for money for anywhere in the world. I will keep taking many many courses with Edureka! Thank you for your help I am able to increase my billing rate and subject level expertise."Read More Read Less